Instructions to use uirev/MLX_OpenELM_1.1b_UiRev_finetuned_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use uirev/MLX_OpenELM_1.1b_UiRev_finetuned_V2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MLX_OpenELM_1.1b_UiRev_finetuned_V2 uirev/MLX_OpenELM_1.1b_UiRev_finetuned_V2
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Paramstr/MLX_OpenELM_1.1b_UiRev_finetuned_V2
The Model Paramstr/MLX_OpenELM_1.1b_UiRev_finetuned_V2 was converted to MLX format from Paramstr/OpenELM_1.1b_UiRev_finetuned_V2 using mlx-lm version 0.14.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Paramstr/MLX_OpenELM_1.1b_UiRev_finetuned_V2")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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Model size
0.2B params
Tensor type
F16
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U32 ·
Hardware compatibility
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Model tree for uirev/MLX_OpenELM_1.1b_UiRev_finetuned_V2
Base model
apple/OpenELM-1_1B-Instruct
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MLX_OpenELM_1.1b_UiRev_finetuned_V2 uirev/MLX_OpenELM_1.1b_UiRev_finetuned_V2